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Data Analytics

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About Us

Trusting Social is an AI fintech company dedicated to advancing data science and technology to promote financial inclusion for all. We deliver AI-powered credit risk, identity, and acquisition solutions for emerging markets, partnering with banks and financial institutions to expand access to credit for underbanked consumers.

Founded in 2013, Trusting Social has become the leading credit risk assessment platform in Southeast Asia, with over 1 billion customers scored and USD 800 million in loans disbursed. We collaborate with 130+ financial institutions across Vietnam, the Philippines, India, and Indonesia and have raised USD 100 million in Series C funding to scale our new credit card business.

Headquartered in Singapore, with offices in Ho Chi Minh City, Hanoi, Manila, Jakarta, Bangalore, and Mumbai, we are guided by values of extreme ownership, data-driven decision-making, mindfulness, and social impact. Our mission is to enable credit access for 10M+ people across Southeast Asia and India within the next decade—and we invite you to help make that vision a reality.

How You’ll Make an Impact

We are looking for a Data Analytics Assistant Manager to be a core contributor to a high-impact analytics function supporting multiple fintech products and initiatives. You will design robust data foundations, shape product and go-to-market strategies, quantify business impact, and translate complex problems into actionable insights.

You will collaborate closely with Product, Engineering, Sales, Operations, and Leadership, influencing what is built, how success is measured, and how value is delivered. This role is ideal for someone who thrives on ownership, manages multiple workstreams, and enjoys building analytics capabilities from the ground up.

What You’ll Do

Data Foundations and Architecture

  • Design and maintain scalable data marts and data warehouses (e.g., BigQuery) to enable cross-product analytics
  • Define event schemas, data dictionaries, and standardized naming conventions
  • Build reusable datasets, tables, and views to support evolving business needs
  • Ensure data quality, accuracy, and performance across products and stakeholders

Product Analytics

  • Own end-to-end analytics across fintech products, from early-stage initiatives to scaled, live offerings
  • Define measurement frameworks across the product lifecycle, including usage, performance, and commercial outcomes
  • Proactively identify anomalies, performance gaps, and optimization opportunities
  • Partner with Product, Sales, and key stakeholders to influence product direction, pricing strategies, and unit economics

Reporting and Automation

  • Design and maintain dashboards that provide clear visibility into product and business performance
  • Build automated reports, alerts, and data extracts for ongoing monitoring and stakeholder needs
  • Establish recurring reporting cadences aligned with business and operational timelines
  • Continuously enhance reporting frameworks to scale with product growth and changing requirements

What We’re Looking For

Minimum Requirements

  • Bachelor’s degree in Information Technology, Computer Science, Data Science, Engineering, or a related field
  • 3 to 5 years of relevant work experience in data analytics, business intelligence, or product analytics
  • Proficiency in Python for data analysis and automation
  • Strong working knowledge of SQL for querying and analysis
  • Experience in fintech, lending, credit, payments, fraud, or risk-related domains
  • Exposure to APIs, eKYC, identity, or risk products
  • Experience using BI tools such as Looker, Metabase, or similar platforms
  • Basic scripting or automation experience
  • Experience supporting sales teams or enterprise clients with data and insights

Preferred Qualifications

  • Advanced SQL skills (complex joins, CTEs, window functions)
  • Experience designing data models and analytics tables from scratch
  • Ability to work independently with minimal structure and supervision
  • Strong business intuition with a clear understanding of why metrics matter
  • Excellent written and verbal communication skills for both technical and non-technical audiences
  • Comfort operating in ambiguity and fast-changing priorities

Why Join Us

  • Be part of a mission-driven fintech creating real social impact through financial inclusion
  • Work on large-scale, real-world datasets across multiple emerging markets
  • Collaborate with a diverse, high-caliber, international team
  • Enjoy end-to-end ownership and the opportunity to shape products and analytics foundations
  • Grow your career in a fast-scaling company backed by strong investors
  • Competitive compensation, benefits, and a dynamic work environment

At Trusting Social, we live by ownership, integrity, and agility in execution. We believe in doing what's right, what's best, and what's innovative. If you're smart, driven, and want to make a difference in the world with the most advanced and fascinating technology, we invite you to be part of our rockstar team!

For more information about us, please visit our website: https://www.youtube.com/watch?v=inAEDGvOcL8&t=29s

About the job

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Job type

Full Time

Experience level

Mid-level

Location requirements

Hiring timezones

Philippines +/- 0 hours

About Trusting Social & Kompato AI

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Trusting Social & Kompato AI hiring Data Analytics • Remote (Work from Home) | Himalayas